Ontology Learning and Reasoning — Dealing with Uncertainty and Inconsistency [chapter]

Peter Haase, Johanna Völker
2008 Lecture Notes in Computer Science  
Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in the ontology learning process that the acquired ontologies represent uncertain and possibly contradicting knowledge. From a logical perspective, the learned ontologies are potentially inconsistent knowledge bases that thus do not allow meaningful reasoning directly. In this paper we present an approach to generate
more » ... stent OWL ontologies from learned ontology models by taking the uncertainty of the knowledge into account. We further present evaluation results from experiments with ontologies learned from a Digital Library.
doi:10.1007/978-3-540-89765-1_21 fatcat:bfwld3qbm5eh5iy27tpqdnngky